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Car double yellow lines detection
4.0
1. pressure detection is based on the double yellow line on the road of the frontal images collected by surveillance equipment for processing, uses smart technology to detect vehicles are double yellow lines, monitor video analysis can be divided into motion detection, object classification, object tracking, object descriptions, and several main elements. Motion detection: that is found in each frame of the moving target. In this case because in most cases the camera is stationary, so in adjacent frames without changing the background, using differential can be loosely labeled background. Target: target motion in the video a lot, such as pedestrians, cars, bicycles, animals. Structural features identify targets of interest. Tracking: identify target relationship in each frame. For example prove that target in the 10th frame a and a is the same target in the 11th frame, b and b are one and the same, and 11 c are new target in a frame. Cannot mak
frankjackie 12 0
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Background subtraction algorithm, multitarget trac
4.0
A multiple-object tracking Matlab code, annotated document. Background subtraction can implement updates in real time. The code to detect and track small targets very well, but after tracking the target is greater than 8, effect a lot-
frankjackie 0 0
1
Gaussian mixture model, goal difference Adaptive b
no vote
In Gaussian mixture background model based on segmented by Gaussian mixture before and after the match the two frames of moving object for differential, difference based on mixture Gaussian again after match resolution out of the target area in the past, and the current target area. In the background updating process, increase the renewal rate of the target area in the past, so moving objects in a halt State for background models of rapid recovery in the interference region. Test results showed that the methods improve the robustness of the model. Interference from standstill to the background when the model region quickly recovered. Test results showed that the methods improve the robustness of the model.
frankjackie 1 0
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Frame-difference method based on background motion
no vote
The algorithm using frame difference method in testing the background pixels in the frame and set background frame due to exclude the influence of moving object in the frame, thus extracted the clean background, the effect is very good, and detect objects in the scene using background subtraction, results show that this method is fast and effective, able to meet real-time requirements
frankjackie 1 0
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